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. Preferred Qualifications: Experience in machine learning, Python programming; first-principles studies of thermodynamics and defects in solids; experience in NEB calculations. Special Instructions
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open access of datasets. Key Responsibilities Develop and implement data management strategies to support research activities across multiple institutions. Collaborate with researchers to establish data
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that can process and learn from multiple data streams in real-time is key to unlocking the full potential of such instruments. The postdoctoral appointee will be responsible for developing such methods
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multiple groups within the X-ray Science Division, the Center for Nanoscale Materials and the Materials Science Division of Argonne. Position Requirements Ph.D. in material science and engineering, physics
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research findings into impactful software tools that improve on the robustness and security of AI and critical software systems. Ability to lead complex research and development projects with multiple
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include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date
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approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 19 days ago
, or a closely related field. Established track record of publications or evidence of scientific achievement appropriate for the career stage. Strong experience with Python and/or MATLAB for analyzing high
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involve multiple diagnostic and numerical modeling approaches, at an appropriate skill level for a Postdoctoral Research Scholar. Lead author on two peer-reviewed publications, in collaboration with the PI
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: Doctorate in Oceanography, Meteorology, Statistics, or similar field. Required Knowledge, Skills & Abilities: Fluent in one or more programming languages (python, Julia, or possibly R) Able to perform